pulumi-aws-native-kotlin/com.pulumi.awsnative.personalize.kotlin.outputs

Package-level declarations

Types

data class DatasetImportJob(val dataSource: DatasetImportJobDataSourceProperties? = null, val datasetArn: String? = null, val datasetImportJobArn: String? = null, val jobName: String? = null, val roleArn: String? = null)

Initial DatasetImportJob for the created dataset

DatasetImportJobDataSourceProperties

data class DatasetImportJobDataSourceProperties(val dataLocation: String? = null)

The Amazon S3 bucket that contains the training data to import.

GetDatasetGroupResult

data class GetDatasetGroupResult(val datasetGroupArn: String? = null)

GetDatasetResult

data class GetDatasetResult(val datasetArn: String? = null, val datasetImportJob: DatasetImportJob? = null)

GetSchemaResult

data class GetSchemaResult(val schemaArn: String? = null)

GetSolutionResult

data class GetSolutionResult(val solutionArn: String? = null)

SolutionCategoricalHyperParameterRange

data class SolutionCategoricalHyperParameterRange(val name: String? = null, val values: List<String>? = null)

Provides the name and values of a Categorical hyperparameter.

SolutionConfig

data class SolutionConfig(val algorithmHyperParameters: Map<String, String>? = null, val autoMlConfig: SolutionConfigAutoMlConfigProperties? = null, val eventValueThreshold: String? = null, val featureTransformationParameters: Map<String, String>? = null, val hpoConfig: SolutionConfigHpoConfigProperties? = null)

The configuration to use with the solution. When performAutoML is set to true, Amazon Personalize only evaluates the autoMLConfig section of the solution configuration.

SolutionConfigAutoMlConfigProperties

data class SolutionConfigAutoMlConfigProperties(val metricName: String? = null, val recipeList: List<String>? = null)

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

SolutionConfigHpoConfigProperties

data class SolutionConfigHpoConfigProperties(val algorithmHyperParameterRanges: SolutionConfigHpoConfigPropertiesAlgorithmHyperParameterRangesProperties? = null, val hpoObjective: SolutionConfigHpoConfigPropertiesHpoObjectiveProperties? = null, val hpoResourceConfig: SolutionConfigHpoConfigPropertiesHpoResourceConfigProperties? = null)

Describes the properties for hyperparameter optimization (HPO)

SolutionConfigHpoConfigPropertiesAlgorithmHyperParameterRangesProperties

data class SolutionConfigHpoConfigPropertiesAlgorithmHyperParameterRangesProperties(val categoricalHyperParameterRanges: List<SolutionCategoricalHyperParameterRange>? = null, val continuousHyperParameterRanges: List<SolutionContinuousHyperParameterRange>? = null, val integerHyperParameterRanges: List<SolutionIntegerHyperParameterRange>? = null)

The hyperparameters and their allowable ranges

SolutionConfigHpoConfigPropertiesHpoObjectiveProperties

data class SolutionConfigHpoConfigPropertiesHpoObjectiveProperties(val metricName: String? = null, val metricRegex: String? = null, val type: SolutionConfigHpoConfigPropertiesHpoObjectivePropertiesType? = null)

The metric to optimize during HPO.

SolutionConfigHpoConfigPropertiesHpoResourceConfigProperties

data class SolutionConfigHpoConfigPropertiesHpoResourceConfigProperties(val maxNumberOfTrainingJobs: String? = null, val maxParallelTrainingJobs: String? = null)

Describes the resource configuration for hyperparameter optimization (HPO).

SolutionContinuousHyperParameterRange

data class SolutionContinuousHyperParameterRange(val maxValue: Double? = null, val minValue: Double? = null, val name: String? = null)

Provides the name and range of a continuous hyperparameter.

SolutionIntegerHyperParameterRange

data class SolutionIntegerHyperParameterRange(val maxValue: Int? = null, val minValue: Int? = null, val name: String? = null)

Provides the name and range of an integer-valued hyperparameter.